st: Update to tabout

Dear statalist,
Thanks top Kit Baum, a new version of -tabout- is now available from
the SSC archives. From inside Stata just type:
ssc install tabout
(or: ssc install tabout, replace).
-tabout- produces publication quality tables from Stata, with the
output exported to a text file. It can be exported as tab-delimited,
html code or LaTeX/TeX code. -tabout- provides extensive user
control over formating of data and labels and generates table
headers automatically.
This version (1.2.0) has two new features:
1. an n option, for showing sample size (or population estimates)
within the table. This can be useful in tables of column
percentages, where the final column can show the n. For example:
Group Yes No Total n
=================================
Low 80.0 20.0 100.0 125
Medium 75.0 25.0 100.0 75
High 60.0 40.0 100.0 143
The n can also be shown as a label, on the same line as the value
labels eg.
Group Yes No Total
=================================
Low (n=125) 80.0 20.0 100.0
Medium (n=75) 75.0 25.0 100.0
High (n=143) 60.0 40.0 100.0
2. a nototals option for suppressing the repetition of totals in the
panels of stacked tables. This can be useful when these totals show
essentially the same numbers each time. A single totals row can now
be added at the bottom (or the top) of the stacked table.
To make learning the syntax easy, an example file which can be used
as a tutorial is available at:
www.acirrt.com/watson/tabout/taboutexamples.pdf
or at:
www.acirrt.com/watson/tabout
This file has been updated to include the new changes in Version
1.2.0 so if you already have this file, it's worth downloading the
latest version of it.
This version of -tabout- has benefited from feedback from Nick Cox,
Andrew Felton and Giorgio Ricchiuti. Thank you all for the help.
Any bug reports and suggestions for improvement are most welcome.
--
Kind regards,
Ian
=================================
Ian Watson
Senior Researcher
acirrt
University of Sydney
NSW 2006
Australia
Phone: 02 9351 5622
Fax: 02 9351 5615
Email: i.watson@econ.usyd.edu.au
Web: www.acirrt.com
================================
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